BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PR Statistics - ECPv6.10.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:PR Statistics X-ORIGINAL-URL:https://prstats.preprodw.com X-WR-CALDESC:Events for PR Statistics REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20231029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20230327 DTEND;VALUE=DATE:20230331 DTSTAMP:20260419T085034 CREATED:20221114T174423Z LAST-MODIFIED:20230221T185051Z UID:10000419-1679875200-1680220799@prstats.preprodw.com SUMMARY:ONLINE COURSE – A Non Mathematical Introduction To Ordination Methods Using R (ORDM01) Registration deadline 27th February - This course will be delivered live DESCRIPTION:Delivered remotely (Canada)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nMonday\, March 27th\, 2023\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE FORMAT\nThis is a ‘LIVE COURSE’ – the instructors will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nTIME ZONE\nTIME ZONE – EST – however all sessions will be recorded and made available allowing attendees from different time zones to follow. \nPlease email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you. \n \n \n \n \n \n \n \n \n \n \n About This Course\n This course will introduce you to the main methods of both constrained and unconstrained ordination without entering into the mathematical details of these methods. The following methods will be studied: principal component analysis; correspondence analysis and its detrended version; principal coordinates analysis; metric and non-metric multidimensional scaling; redundancy analysis\, canonical correspondence analysis; gradient analysis using siteXspecies data.\nBy the end of the course\, participants should be able to:\n\nUnderstand how each method works and the assumptions inherent in each;\nChoose the most appropriate method relative to their data and goals;\nCarry out the analyses in the R statistical environment\nInterpret their results\n\n \n \n \n \n \n Intended Audiences\n \nGraduate or post-doctoral level researchers who wish to learn how to perform ordination techniques in R;\nApplied researchers and analysts in the environmental/ecological sector with a role in handling and analysing data\n\n \n \n \n \n \n Venue\n Delivered remotely \n \n \n \n \n \n Course Details\n Time Zone – EST \nAvailability – TBC \nDuration – 4 days \nContact hours – Approx. 30 hours \nECT’s – Equal to 3 ECT’s \nLanguage – English \n \n \n \n \n \n Teaching Format\n This course will comprise a mixture of taught theory and practical examples. Data and analytical approaches will be presented in a lecture format to introduce key concepts. Statistical analyses will then be presented using R. All R script that the instructor uses during these sessions will be shared with participants\, and R script will be presented and explained. \nIdeally\, participants will be able to use a computer screen that is sufficiently large to enable them to view my shared RStudio and their own RStudio simultaneously. \n \n \n \n \n \n Assumed quantitative knowledge\n I assume that participants have a basic knowledge of general statistical concepts and of linear models. \n \n \n \n \n \n Assumed computer background\n Experience with performing statistical analyses using R and R Studio will be assumed. \n \n \n \n \n \n Equipment and software requirements\n A computer with the most recent version of R and RStudio is required. R and RStudio are both available as free and open source software for PCs\, Macs\, and Linux computers. \nA full list of required packages will be made available to participants prior to the course. \nIdeally\, participants will be able to use a computer screen that is sufficiently large to enable them to view my shared RStudio and their own RStudio simultaneously. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.\n \n \n \n \n \n \nIf you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n \n \n \n \n \n \n \n \n \n \n Monday 27th\n Day 1 09:00 – 16:00
 \nPrincipal components analysis (PCA) \n\nA graphical explanation of how PCA works\nData preparation and basic assumptions\nDealing with proportions\nUsing a covariance matrix or a correlation matrix?\nSteps in fitting a PCA\nEvaluating the importance of each axis\nRelating variables to the axes\nRelating observations to the axes\nChoosing which axes to use\nGraphical visualizations using biplots\n\nCorrespondence analysis (CA) & detrended correspondence analysis (DCA) \nDirect gradient analysis in ecology\nCA as a form of direct gradient analysis\nSteps in fitting a CA\nBias due to the “arch effect” and its correction by detrending\nAn empirical example\nInterpreting the output and graphical presentation\n\n \n \n \n \n \n Tuesday 28th\n Day 2 09:00 – 16:00
\nPrincipal coordinates analysis (PCoA) \n\nDistance and dissimilarity measures\nMeasures for nominal categorical\, binary\, ordinal and quantitative variables\nGower’s distance\nPCA and CA as special cases of multidimensional scaling\nA graphical explanation of how PCoA works\nSteps in fitting a CA\nPerforming PCoA in R\n\nMetric (MDS) and non-metric multidimensional scaling (NMDS) \nWhat is multidimensional scaling and how does it work?\nWhat is non-metric multidimensional scaling?\nPerforming NMDS in R.\nGraphical methods for evaluating and interpreting NMDS results\nProcrustes analysis\nAn empirical example\n \n \n \n \n \n Wednesday 29th\n Day 3 09:00 – 16:00 \nConstrained ordinations \nExploratory vs. inferential statistical methods\nRedundancy analysis (RDA)\nObtaining output from rda()\nHypothesis testing with rda()\nPartial RDA\nCanonical correspondence analysis (CCA)\nPartial CCA\nHypothesis testing with CCA\nDistance-based redundancy analysis (db-RDA)\nEmpirical example\n \n \n \n \n \n Thursday 30th\n Day 4 09:00 – 12h00 \nGradient analysis using siteXspecies data\nSimulating environmental gradients\nUsing simulations to compare ordination methods\nThe “horseshoe” or “arch” effect\nFlexible shortest path adjustments\nRecommendations for siteXspecies ordinations\nImplications for constrained ordination methods\n \n \n \n \n \n \n Course Instructor\n \n \n \n \n \n \n \n \n \n \n \n Prof. John (Bill) Shipley\nBill Shipley is an experienced researcher and  teacher in plant ecology and statistical ecology. He has published four scientific monographs and over 170 peer-reviewed papers. URL:https://prstats.preprodw.com/course/a-non-mathematical-introduction-to-ordination-methods-using-r-ordm01/ LOCATION:Delivered remotely (Canada) CATEGORIES:All Live Courses,Home Courses,Live Online Courses ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/11/Picture-1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20230130 DTEND;VALUE=DATE:20230204 DTSTAMP:20260419T085034 CREATED:20220608T132224Z LAST-MODIFIED:20221220T091139Z UID:10000410-1675036800-1675468799@prstats.preprodw.com SUMMARY:ONLINE COURSE - Introduction to Aquatic Acoustic Telemetry (IAAT02) This course will be delivered live DESCRIPTION:Delivered remotely (Canada)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nMonday\, January 30th\, 2023\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nCourse Program\nTIME ZONE – UK Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow. \nPlease email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you. \n \n \n \n \n \n \n \n \n \n \n Course Details\n Acoustic telemetry is a popular method for monitoring the movements and behaviour of aquatic animals globally. Increasingly smaller tags along with improvements in battery technology have allowed for tagging a wide varietyof species and life stages\, enabling monitoring of individuals as small as salmon smolts and as large as whale sharks for periods from 30 days to 10 years. In addition\, with more and more tag sensor and environmentalmonitoring options available\, telemetry datasets are becoming richer\, allowing researchers to answer increasingly complex questions about why animals move where and when they do. Receiver technology also continues to evolve and increasingly allows for data to be collected at finer spatial and temporal scales than ever before. New technologies such as gliders and real-time detection systems allow broad geographic coverage and remote\, real-time access to animal movement data. Additional advancements in built-in acoustic array diagnostics permit increasingly detailed analyses of system performance over time\, resulting in more robust interpretation of animalmovement data. \nIn this course you will learn about the different types of Innovasea acoustic telemetry technologies and their applicability for use in different study environments and in answering different research questions. Exampleapplications that will be discussed include: monitoring fine-scale movements and behaviour around barriers and other structures\, migration survival studies around barriers\, monitoring spawning and other seasonal behaviours\,real-time monitoring\, home range and Marine Protected Area studies\, habitat selection\, species interactions\, and investigating causes of mortality. This section will include a deep dive into the logistics of fine-scale positioningstudies and will provide an overview of the different types of analyses that are commonly performed with positional data. \nA robust telemetry study design that accounts for the advantages and limitations of different equipment options is critical to ensure a successful study. During this course\, you will learn about important study design considerations such as appropriate hardware models and tag programming parameters for your study objectives\, tag attachment considerations\, and how to optimize your receiver placements through early and thorough testing. We will analyze an example range test dataset and discuss the implications of range test results on array design. We will also review considerations when designing moorings for your particular study environment. \nTo ensure successful execution of your telemetry study plan and the highest quality data\, it’s important to use telemetry best practices when preparing for and during tagging and deployment. We will review best practices for acoustic telemetry equipment maintenance and care\, pre-deployment testing\, tips for preparing equipment and data logs\, and how to test your array once deployed in the field. We will also look at how to monitor the performance of your telemetry array throughout the duration of your study\, reviewing what metrics are best used to determine whether the array is operating as planned so you can have confidence in the data being collected. Finally\, because interpretation of acoustic telemetry data and inferring animal behaviour from these data is often confounded by array performance questions\, this course will teach you techniques for assessing system performance to aid in the correct interpretation of animal detection data. Finally\, since telemetry datasets are growing larger all of the time\, data management is becoming increasingly challenging. During this course you will learn about data management best practices and tools to perform basic quality assurance\, basic visualizations\, and basic filtering of large datasets in preparation for statistical analyses. You will also have the opportunity to discuss your own telemetry studies with the experts during a Q&A sessionon the final day of the course. Bring your data and your questions! \n \n \n \n \n \n Intended Audiences\n This course is suitable for research postgraduates\, practicing academics\, or persons in industry or government who are working with acoustic telemetry\, or planning an acoustic telemetry study\, to monitor aquatic animal movement and behaviour. This course focuses on applications of the technology and best practices for obtaining meaningful animal movement data using acoustic telemetry.\n \n \n \n \n \n Venue\n Delivered remotely \n \n \n \n \n \n Course Information\n Availability – 30 places \nDuration – 4 days \nContact hours – Approx. 16 hours \nECT’s – Equal to 2 ECT’s \nLanguage – English \n \n \n \n \n \n Teaching Format\n This course offers 16 hours of acoustic telemetry content over 4 days.  Each day consists of 2 hours lecture\, 1 hour break\, and another 2 hours lecture.  Lecture days are Monday\, Tuesday\, Thursday and Friday.  Friday’s lecture is shorter with remaining time dedicated to interactive participant Q&A and study design or data review.  The course will take place online. \n \n \n \n \n \n Assumed quantitative knowledge\n We will assume that you are familiar with basic statistical concepts\, linear models\, and statistical tests\, however statistics knowledge is not required to benefit from this course. \n \n \n \n \n \n Assumed computer background\n Familiarity with data manipulation in Microsoft Excel and ability to import/export data into a data management / statistical package of your choice. \n \n \n \n \n \n Equipment and software requirements\n Computer work is not required during this course however it will be possible for participants to follow along with software demonstrations during the lectures.  Software download links will be provided prior to the course.  Desktop software applications require a modern Windows operating system. \nA working webcam is desirable for enhanced interactivity during the live sessions\, we encourage attendees to keep their cameras on during live zoom sessions. \nDownload Zoom \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited. \n \n \n \n \n \n If you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n\n\nMonday 30th – Classes from 12:30 to 17:30 \nIntroductionTypes of Telemetry TechnologyHow Does Acoustic Telemetry Work? \nFine-Scale Positioning Deep Dive \nAcoustic Telemetry Applications – Part IExample case studies include: fine-scale monitoring around barriers\, migration survival studies\, spawning behaviour\, real-time monitoring\, home range and MPA use\, habitat selection\, species interactions\, and investigation into causes of mortality. \nTuesday 31st – Classes from 12:30 to 17:30 \nAcoustic Telemetry Applications – Part IIExample case studies include: fine-scale monitoring around barriers\, migration survival studies\, spawning behaviour\, real-time monitoring\, home range and MPA use\, habitat selection\, species interactions\, and investigation into causes of mortality \nDesigning a Successful Acoustic Telemetry StudyDefining the Question and Data NeedsHardware SelectionTag ProgrammingTag Attachment MethodRange TestingReceiver PlacementReceiver Mooring Design \nThursday 2nd – Classes from 12:30 to 17:30 \nRunning Your Acoustic Telemetry StudyEquipment Maintenance & CarePre-Deployment TestingPreparing for Tagging & DeploymentTesting Your Deployment \nSystem Performance AssessmentIn the FieldPost-Study Performance Assessment \nFriday 3rd – Classes from 12:30 to 17:30 \n Data Management Data Quality Assurance Acoustic Telemetry Q & A \n\n\n \n \n \n \n \n Course Instructor\nStephanie Smedbol\nDirector of Product Management & Customer Success\, Innovasea Fish TrackingStephanie has been working with Innovasea for 12 years in a number of roles in R&D\, Product\, Management\, and Customer Success.  Her primary areas of focus are ensuring that researchers get the most out of their telemetry equipment and data\, and improving telemetry products and services to enable new and better science. Stephanie’s areas of expertise include telemetry study design\, telemetry field work\, telemetry system performance analysis\, technical training\, and technical problem solving.​ Stephanie has a Bachelor ofScience in Biology from McGill University (Montreal\, Canada) and a Bachelor of Engineering (Electrical) from Dalhousie University in Nova Scotia\, Canada.​ \nColleen Burliuk\nResearch Biologist\, Innovasea Fish Tracking \nCourtney MacSween\nCustomer Engagement Coordinator\, Innovasea Fish Tracking URL:https://prstats.preprodw.com/course/online-course-introduction-to-aquatic-acoustic-telemetry-iaat02/ LOCATION:Delivered remotely (Canada) CATEGORIES:All Live Courses,Home Courses,Live Online Courses ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/ATDA01.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220425 DTEND;VALUE=DATE:20220429 DTSTAMP:20260419T085034 CREATED:20220218T162949Z LAST-MODIFIED:20220414T173819Z UID:10000349-1650844800-1651190399@prstats.preprodw.com SUMMARY:ONLINE COURSE – Advances In Spatial Analysis Of Multivariate Ecological Data: Theory And Practice (MVSP05) This course is pre-recorded with live help DESCRIPTION:Delivered remotely (Canada)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nMonday\, April 25th\, 2022\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘PRE-RECORDED’ course\, lectures are pre-recorded and shared via zoom. The instructors will be available for live help with practicals and to answer any questions. A good internet connection is essential. \nTime Zone\nTIME ZONE – Multiple timezones – Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you). \n \n \n \n \n \n \n \n \n \n \n About This Course\n The course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology. The umbrella concept of the course is beta diversity\, which is the spatial variation of communities. Researchers in spatial ecology\, population genetics and landscape genetics will find these methods useful as they are applicable to all types of communities (bacteria\, plants\, animals) sampled along transects\, regular grids or irregularly distributed sites. The new methods\, collectively referred to as spatial eigen-function analysis\, are grounded into techniques commonly used by community ecologists\, which will be described first: simple ordination (PCA\, CA\, PCoA)\, multivariate regression and canonical analysis\, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes\, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data. \n \n \n \n \n \n Intended Audiences\n Research postgraduates\, practicing academics and primary investigators in spatial ecology particularly communities (bacteria\, plants\, animals) sampled along transects\, regular grids or irregularly distributed sites. The skills learnt can also be applied by management and environmental professionals in government and industry. \n \n \n \n \n \n Venue\n Delivered remotely \n \n \n \n \n \n Course Details\n Time Zone –Multiple timezones \nAvailability – TBC \nDuration – 4 days \nContact hours – Approx. 28 hours \nECT’s – Equal to 2 ECT’s \nLanguage – English \n \n \n \n \n \n Teaching Format\n This course will be a combination of pre-recorded lectures delivered by Prof. Pierre Legendre\, Practical sessions with live support via email or video link and final live summary with Q and A at the end of each day Prof Pierre Legendre. \nThere will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors\, but participants are welcome to bring their own data. \nThe recordings will be aired via zoom. Recordings last for approx. 4 hours. Followed by 3-hour practical. And then an approx. 1 hour (we have more time if needed) Q and A session with Pierre Legendre. \nRecordings will be aired to accommodate different time zones listed below in GMT. \nGroup 1Recordings 08:00 – 12:00Practical 12:30 – 15:30 \nGroup 2Recordings 12:00 – 16:00Practical 16:30 – 19:30 \nGroup 1 and 2Live Q and A – 20:00 – 21:00 (with Prof. Pierre Legendre) \nYou can use this link to find a time zone which suites you best. \nhttps://www.timeanddate.com/worldclock/?query=gmt \nAlthough not strictly required\, using a large monitor or preferably even a second monitor will make the learning experience better\, as you will be able to see my RStudio and your own RStudio simultaneously. \n \n \n \n \n \n Assumed quantitative knowledge\n A basic understanding of statistical concepts. Specifically\, generalised linear regression models\, statistical significance\, hypothesis testing. \n \n \n \n \n \n Assumed computer background\n Familiarity with R. Ability to import/export data\, manipulate data frames\, fit basic statistical models & generate simple exploratory and diagnostic plots. \n \n \n \n \n \n Equipment and software requirements\n \nA laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs\, Macs\, and Linux computers. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/. \n\n\nAll the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed\, and a full list of required packages will be made available to all attendees prior to the course. \n\n\nA working webcam is desirable for enhanced interactivity during the live sessions\, we encourage attendees to keep their cameras on during live zoom sessions. \n\n\nAlthough not strictly required\, using a large monitor or preferably even a second monitor will improve he learning experience \n\n\nDownload R \n\n\nDownload RStudio \n\n\nDownload Zoom \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited. \n \n \n \n \n \n \nIf you are unsure about course suitability\, please get in touch by email to find out more oliverhooker@prstatistics.com \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n \n \n \n \n \n \n \n \n \n \n Monday 25th\n Lesson 1: Ordination in reduced spaceSection 1.0. Ordination in reduced space: An introductionSection 1.1. Principal component analysis (PCA)Section 1.2. Correspondence analysis (CA)Section 1.3. Principal coordinate analysis (PCoA)Section 1.4. Metric ordination methods in ecology (included with 1.3) \nPractical 1 \n \n \n \n \n \n Tuesday 26th\n Lesson 2: Dissimilarities and transformations \nLesson 3: Tests of statistical significance \nLesson 4: Linear regressionSection 4.1 Multiple linear regressionSection 4.2 Partial regression and variation partitioning \nPractical 2 \n \n \n \n \n \n Wednesday 27th\n Lesson 5: Canonical analysis \nLesson 6: Beta diversitySection 6.1. Partitioning beta diversitySection 6.2. Replacement and richness differenceSection 6.3. Temporal beta diversity \nPractical 3 \n \n \n \n \n \n Thursday 28th\n Lesson 7: Spatial modellingSection 7.1. Origin of spatial structures in ecologySection 7.2. Spatial eigenfunction modellingSection 7.3. Space-time interaction \nLesson 8: Mantel test in spatial analysis \nPractical 4 \n \n \n \n \n \n \n Course Instructor\n \n \n \n \n \n \n \nProf. Pierre Legendre\nComing Soon… URL:https://prstats.preprodw.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05/ LOCATION:Delivered remotely (Canada) CATEGORIES:Live Online Courses ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/MVSP04R.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/London:20220323T180000 DTEND;TZID=Europe/London:20220323T183000 DTSTAMP:20260419T085034 CREATED:20220221T205439Z LAST-MODIFIED:20220322T164050Z UID:10000320-1648058400-1648060200@prstats.preprodw.com SUMMARY:FREE SEMINAR – Advances in Spatial Analysis of Multivariate Ecological Data: Theory and Practice (MVSP05S) DESCRIPTION:Delivered remotely (Canada)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Registration is now closed\, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Free seminar \nThis is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Advances In Spatial Analysis Of Multivariate Ecological Data: Theory And Practice”. \nTime \n18:00 GMT \nSpeaker \nCourse Instructor Prof. Pierre Legendre \nAbout this course \nThe course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology. The umbrella concept of the course is beta diversity\, which is the spatial variation of communities. These methods are applicable to all types of communities (bacteria\, plants\, animals) sampled along transects\, regular grids or irregularly distributed sites. The new methods\, collectively referred to as spatial eigen-function analysis\, are grounded into techniques commonly used by community ecologists\, which will be described first: simple ordination (PCA\, CA\, PCoA)\, multivariate regression and canonical analysis\, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes\, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Please email any course enquiries to oliverhooker@prstatistics.com URL:https://prstats.preprodw.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp05s/ LOCATION:Delivered remotely (Canada) CATEGORIES:All Live Courses,Free Seminars,Home Seminars ATTACH;FMTTYPE=image/png:https://prstats.preprodw.com/wp-content/uploads/2022/02/MVSP04R.png END:VEVENT END:VCALENDAR